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Friis Hills Meteorological Station Measurements

Summary

Abstract:

As part of the Long Term Ecological Research in the McMurdo Dry Valleys of Antarctica, meteorological data was collected from various locations throughout Beacon, Taylor, Wright and Victoria Valleys. These files contain data for the Friis Hills meteorology station. The station captured data first on the 2006/07 season, installed by Cuffey and others, and brought to LTER format by THomas Nylen on 2010/11 season.

Related publications:

Methods:

The Friis Hills meteorological station was added to the McMurdo Dry Valley network in the 2010-2011 field season.

The station was set up to sample sensors every 30 seconds and send summary statistics (for example, averages and maximums) to solid-state storage modules every 15 minutes. This has resulted in approximately 20 values being recorded for final storage in every output interval.

Maintenance:

On Season 2010/11, by Thomas Nylen

1. Converted station to LTER format

2. CR10X time was set to UTC, but changed to local daylight saving time. CR10X 55 secs behind. Changed at 12/23/2010 0930. Changed output results to local time (UTC + 13hrs)

3. Wind Pointing north, declination at site is 152 degrees

4. GPS location: 77.74738, 161.51634

5. Sensor Heights: Temp/RH = 2.5m, Wind = 3.6m and NetRad = 2.05m

6. Loaded new program Friis1011v1 on 12/23/2010 1007.

7. Processed data back to 2005. Duplicated line of data on 1/18/2008 10:55 (local time). Deleted second extra line.

Additional information:

Meteorological data is collected year-round at each of the stations in the McMurdo Dry Valleys of Antarctica. After retrieving this data (usually every January), the parameters that are recorded are processed from level 0 (raw) to level 1 (processed, provided on the web). The raw data file descriptions and task lists summarize what was done to get from level 0 to level 1 for all station found here at https://mcm.lternet.edu/meteorological-task-lists

Research Section:

Keywords:

NSF

This material is based upon work supported by the National Science Foundation LTER grant 1115245. Any opinions, findings, conclusions, or recommendations expressed in the material are those of the author(s) and do not necesarily reflect the views of the National Science Foundation.